Run
1924170

Run 1924170

Task 15 (Supervised Classification) breast-w Uploaded 02-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1. Sun_Apr__2_02.09.31_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,stand ardscaler=sklearn.preprocessing.data.StandardScaler,neuralnetwork=helper.nn .NeuralNetwork)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,neuralnetwork=helper.nn.NeuralNetwork)(1)_steps[('dualimputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('neuralnetwork', NeuralNetwork(activation='relu', batch_size=31, dropout=0.5, epochs=7, layer_size=64, loss='sparse_categorical_crossentropy', metrics=['accuracy'], optimizer='adam', readout='softmax', verbose=0))]
helper.nn.NeuralNetwork(1)_activationrelu
helper.nn.NeuralNetwork(1)_batch_size31
helper.nn.NeuralNetwork(1)_dropout0.5
helper.nn.NeuralNetwork(1)_epochs7
helper.nn.NeuralNetwork(1)_layer_size64
helper.nn.NeuralNetwork(1)_losssparse_categorical_crossentropy
helper.nn.NeuralNetwork(1)_metrics['accuracy']
helper.nn.NeuralNetwork(1)_optimizeradam
helper.nn.NeuralNetwork(1)_readoutsoftmax
helper.nn.NeuralNetwork(1)_verbose0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9658
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9245
Cross-validation details (10-fold Crossvalidation)
KB relative information score
635.4381
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0419
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.966
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9657
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9657
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0927
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1603
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3374
Cross-validation details (10-fold Crossvalidation)